Which model is better: Llama 4 Maverick or OpenAI o4-mini?
Llama 4 Maverick is 81.8% cheaper for input tokens ($0.20 vs. $1.10 per 1M tokens) and $0.60 vs. $4.40 for output tokens (5.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (545ms faster than OpenAI o4-mini) with 175 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 81.4% vs. 73.8% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Llama 4 Maverick
OpenAI o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.20
$1.10
Llama 4 Maverick is 5.5x cheaper
Output Cost / 1M Tokens
$0.60
$4.40
Llama 4 Maverick (86.4% lower)
Prompt Cache Read / 1M
$0.050
$0.275
Llama 4 Maverick is 5.5x cheaper
Prompt Cache Write / 1M
$0.20
$1.10
Llama 4 Maverick is 5.5x cheaper
Context Window (Max Output)
1,049k (33k out)
205k (100k out)
Llama 4 Maverick (5.1x larger context)
Avg TTFT Response Latency
135ms
680ms
Llama 4 Maverick (545ms faster)
Generation Speed (Throughput)
175 tok/s
125 tok/s
Llama 4 Maverick (+50 tok/s faster)
SWE-bench Verified (Coding)
62.4%
68.1%
OpenAI o4-mini (+5.7% lead)
GPQA Diamond (PhD STEM)
73.8%
81.4%
OpenAI o4-mini (+7.6% lead)
MMLU-Pro (Multi-Discipline)
84.5%
85.6%
OpenAI o4-mini (+1.1% lead)
MATH-500 (Quantitative Logic)
91%
97.8%
OpenAI o4-mini (+6.8% lead)
Inference Value Score (IVR)
77 / 100
63.7 / 100
Llama 4 Maverick (+13.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Llama 4 Maverick or OpenAI o4-mini?
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o4-mini.
Which model has lower TTFT latency and higher tok/s throughput: Llama 4 Maverick or OpenAI o4-mini?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do Llama 4 Maverick and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Llama 4 Maverick scores 62.4% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, Llama 4 Maverick scores 73.8% versus 81.4% for OpenAI o4-mini (and 91% vs 97.8% on MATH-500).
When should you choose Llama 4 Maverick?
Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
When should you choose OpenAI o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
